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6 days ago · It's noteworthy that recent methods in video anomaly detection have revealed the application of the divide and conquer philosophy (albeit with distinct ...
2 days ago · Monitoring count time series in R: Aberration detection in public health ... Approximate leave-future-out cross-validation for Bayesian time series models ...
5 days ago · ... Models. 2024-08-31, emplik2, Empirical Likelihood Ratio Test for Two-Sample U-Statistics with Censored Data. 2024-08-31, geometry, Mesh Generation and Surface ...
19 hours ago · We analyze a rotating black hole (BH) in a four-dimensional space-time embedded in five-dimensional flat bulk. In Boyer–Lindquist coordinates, ...
6 days ago · The entire suite of data facilitates refined proxy calibration of paleoceanographic and paleoclimate archives at high temporal and spatial resolution in ...
6 days ago · 2023):. “Since the discovery of hydrothermal vents in the late 1970s, deep-sea hydrothermal vent fields have attracted great attention as biological hotspots.
4 days ago · ... anomaly detection. Despite its importance, there are serious ... time series and analysts with expertise in time series modeling are relatively rare.
2 days ago · Latest Articles · Robert C. Burns · Ross G. Andrew · Danielle Schwarzmann · Mary E. Allen · Jasmine Cardozo Moreira.
4 days ago · CopCTS: Copula-Based Semiparametric Analysis for Time Series Data with Detection ... decompDL: Decomposition Based Deep Learning Models for Time Series ...
1 day ago · Detection of Sarcasm Using Bi-Directional RNN Based Deep Learning Model in Sentiment Analysis ... Time Series Analysis Using Random Forest for Predicting ...